Triple

T1881294
Position Surface form Disambiguated ID Type / Status
Subject Colman Domingo E39857 entity
Predicate notableWork P4 FINISHED
Object Zola
Zola is a 2020 dark comedy-drama film based on a viral Twitter thread, following a Detroit waitress on a chaotic road trip into the world of stripping and crime.
 E210446 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Zola | Statement: [Colman Domingo, notableWork, Zola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zola
Context triple: [Colman Domingo, notableWork, Zola]
  • A. Zola
    Zola is a township neighborhood in Soweto, South Africa, known for its vibrant street culture and significant role in the country’s urban history.
  • B. Zola
    Zola is a French surname most famously borne by Émile Zola, the influential 19th-century novelist and leading figure of literary naturalism.
  • C. Alexandrine Zola
    Alexandrine Zola was the wife of French novelist Émile Zola, known for her long and complex marriage to the prominent naturalist writer and her role in managing his household and legacy.
  • D. Julien
    Julien is a given name of French origin commonly used for males in various Francophone and European countries.
  • E. Émile
    Émile is a French given name most famously borne by the influential 19th-century novelist and social critic Émile Zola.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zola
Triple: [Colman Domingo, notableWork, Zola]
Generated description
Zola is a 2020 dark comedy-drama film based on a viral Twitter thread, following a Detroit waitress on a chaotic road trip into the world of stripping and crime.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zola
Target entity description: Zola is a 2020 dark comedy-drama film based on a viral Twitter thread, following a Detroit waitress on a chaotic road trip into the world of stripping and crime.
  • A. Zola
    Zola is a French surname most famously borne by Émile Zola, the influential 19th-century novelist and leading figure of literary naturalism.
  • B. Zola
    Zola is a township neighborhood in Soweto, South Africa, known for its vibrant street culture and significant role in the country’s urban history.
  • C. Alexandrine Zola
    Alexandrine Zola was the wife of French novelist Émile Zola, known for her long and complex marriage to the prominent naturalist writer and her role in managing his household and legacy.
  • D. Julien
    Julien is a given name of French origin commonly used for males in various Francophone and European countries.
  • E. Émile
    Émile is a French given name most famously borne by the influential 19th-century novelist and social critic Émile Zola.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fb95b48190af5286662c8b9734 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5c55e081909fc6912e1283a73a completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69ade089c3848190a730957799b08993 completed March 8, 2026, 8:48 p.m.
NED2 Entity disambiguation (via description) batch_69ade14bd7e48190bf7d4832a4d46992 completed March 8, 2026, 8:51 p.m.
Created at: March 4, 2026, 7:34 p.m.